Statistical Analysis of Judgment of Thermal Well-Being Descriptors

Clothing well-being, a highly sought-after attribute by consumers, is a complex and subjective concept influenced by various factors. Thermal well-being, a key component, is tied to hot/cold sensations and reflects satisfaction with thermal conditions. Achieving a universally ideal thermal environment is challenging due to the individual variability in factors such as body temperature, activity level, and fabric properties. In this study, we conduct a comprehensive analysis of 12 thermo-physical factors related to thermal well-being descriptors through typological and factorial analyses. Our objective is to elucidate the intricate relationships between these factors and assess their contributions. Drawing insights from these statistical analyses, we aim to establish a set of descriptors that can replicate the perceptual process, facilitating the prediction of clothing’s overall thermal well-being. This research holds the potential to inform the development of clothing that caters to diverse thermal preferences, offering consumers a more comfortable and satisfying experience.